Medior AI Engineer

Il y a 18 heures

Leuven, Flanders, Belgique LACO Temps plein

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Build AI that actually goes live, not just demos Are you a Medior AI Engineer ready to move beyond experiments and start delivering real-world AI solutions? At LACO, you’ll work on production-grade AI, Generative AI copilots, and scalable ML systems that truly make an impact across industries. Why this role is different
- Build real AI solutions in Azure, not proof-of-concepts
- Work hands-on with Generative AI, copilots & LLM integrations
- Grow toward Senior/Lead AI Engineer with clear guidance
- Get ownership, autonomy, and space to innovate
- Join a team that invests in coaching, learning & certifications
- Open to both permanent & freelance talent What you'll be doing
- Designing and deploying scalable AI solutions in Azure (ML Studio)
- Building ML & GenAI applications, including Retrieval-Augmented Generation (RAG) solutions, AI copilots, and LLM-powered applications
- Working with state-of-the-art Large Language Models such as GPT-4, Claude Sonnet, and Claude Haiku to create intelligent business solutions
- Developing and optimizing RAG architectures, semantic search, vector databases, and knowledge retrieval systems
- Creating end-to-end ML pipelines (data ingestion → training → deployment)
- Building AI applications and integrations using Python and modern AI frameworks
- Collaborating with engineers & data scientists to deliver real business impact
- Applying Responsible AI principles in production environments Who you are
- ~2+ years experience as an AI/ML Engineer.
- Strong development skills in Python and experience with ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face)
- Hands-on experience with Large Language Models (LLMs) such as GPT-4, Claude Sonnet, Claude Haiku, or similar foundation models
- Experience designing and implementing RAG solutions, semantic search, vector databases, and GenAI applications
- Familiar with Azure ML, Data Lake, DevOps, AKS, or AI Foundry
- Knowledge of MLOps, CI/CD, Docker, and Infrastructure as Code (IaC)
- Experience evaluating, fine-tuning, or integrating LLMs into production environments is a plus What you get in return
- Competitive salary aligned with the market
- 40h workweek + 32 days off
- Hybrid flexibility
- A strong learning culture with mentoring & career acceleration
- A people-first environment where your work truly matters Ready to build real AI instead of demos? Send us a message or apply directly, we’d love to connect. #AI #MachineLearning #GenerativeAI #Azure #Hiring #TechJobs #MLOps

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